New remote sensing paper has been released in Open Access!

New paper entitled “Application of Maximum Entropy for Mineral Prospectivity Mapping in Heavily Vegetated Areas of Greater Kurile Chain with Landsat 8 Data” coauthored with Professor EMJ Carranza is now available in open access.

Link to full-text paper (ResearchGate).

Alternate link to full-text (Elsevier)

Research implements DefMe (Defoliation and Maximum Entropy) software (link)

LandsatShadowRemoval (LSR) is available

The Landsat Shadow Removal (LSR) software is now published as the source code (https://github.com/SergeiShevyrev/LSR). Program uses pyQT graphical interface and can stack Landsat 8 OLI images, compute indexes as well as apply SCS+C topographic correction algorithm. Program was tested with Landsat 8 OLI data (http://libra.developmentseed.org), SRTM (necessary for topographic correction) and shape file for data crop. Data must be in same projection (tested in UTM on WGS84 geoid).

Software uses 3rd party libraries: numpy, pandas, gdal, elevation, richdem, pyQT that should be preinstalled prior to run.

Article of remote sensing is freely available

Hello and great news! Newly published article Shevyrev, S. Neotectonics, remote sensing and erosion cut of ore-controlling structures of the Mnogovershinnoe gold-silver deposit (Khabarovsk Krai, Russian Far East). Ore Geology Reviews, Volume 108, May 2019, Pages 8-22 is freely available on the Elsevier website via shared link until July, 06:

https://authors.elsevier.com/a/1Z3lFcTGxwWKt

Everyone is welcome to download and read.